Publication: Identification of Relevant Features in Complex Biomedical Datasets Using Artificial Intelligence
Identification of Relevant Features in Complex Biomedical Datasets Using Artificial Intelligence
Date
Date
Date
Citations
Zhakparov, D. (2024). Identification of Relevant Features in Complex Biomedical Datasets Using Artificial Intelligence. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-263154
Abstract
Abstract
Abstract
The exponential growth of large-scale datasets in biomedical research, driven by technological advancements, presents significant challenges in data analysis. This thesis explores the application of machine learning (ML) and advanced computational techniques to high-dimensional biomedical data, demonstrating their potential in various domains. The research focuses on four main areas: (1) using ML to combat the COVID-19 pandemic through early detection of SARS-CoV-2 infection and COVID-19 disease outcome prediction, (2) monitoring the
Additional indexing
Creators (Authors)
Faculty
Faculty
Faculty
Item Type
Item Type
Item Type
In collections
Referees
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
Place of Publication
Place of Publication
Place of Publication
Publication date
Publication date
Publication date
Date available
Date available
Date available
Number of pages
Number of pages
Number of pages
OA Status
OA Status
OA Status
Citations
Zhakparov, D. (2024). Identification of Relevant Features in Complex Biomedical Datasets Using Artificial Intelligence. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-263154